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Databases · head to head

Firebolt vs Immuta

Firebolt logo

Firebolt

Databases

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Immuta logo

Immuta

Databases

Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery

From
On request
Rated
-

The short version

  • Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; Immuta contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.
  • They diverge on capability: Firebolt covers Sub-second Queries, Immuta covers Attribute-based policy.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Firebolt and Immuta actually diverge.

Attributes where Firebolt and Immuta differ
AttributeFireboltImmuta
Starting price$1.84/hourOn request
Pricing modelusage-basedquote
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesWeb, API, Cloud
Founded2019Unknown

Identical on both: free tier (No), user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Firebolt

  • Sub-second Queries
  • Sparse Indexes
  • Data Pruning
  • Decoupled Storage/Compute
  • SQL Support
  • Semi-structured Data
  • Workload Isolation
  • Airflow

Only in Immuta

  • Attribute-based policy
  • Native enforcement
  • Dynamic masking
  • Row-level filtering
  • Purpose-based access
  • Sensitive data tagging
  • Audit logging
  • Multi-platform

What people use each for

The jobs each tool is most often brought in to do.

Firebolt

  • Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Immuta
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Immuta
  • Applications needing vector search on analytical data for similarity queriesnot Immuta

Immuta

  • A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot Firebolt
  • A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Firebolt
  • A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Firebolt
  • An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot Firebolt

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Firebolt

  • Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
  • Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
  • Azure deployment currently in Preview status; production recommendations unclear
  • Vector indexes limited to float arrays; other data types require alternative indexing strategies
  • Free tier credits ($200) limited; no perpetual free tier for production use

Immuta

  • Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate.
  • Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful.
  • Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere.
  • Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing.
  • It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer.

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Immuta

On request
  • Immuta Platform$undefined/year
    • Attribute-based policy authoring
    • Native enforcement in supported data platforms
    • Dynamic masking and row-level security

Which should you pick?

Choose Firebolt if

  • You need sub-second queries.
  • You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
  • You also want sparse indexes.

Choose Immuta if

  • You need attribute-based policy.
  • You work on Web, API, Cloud.
  • You also want native enforcement.

Questions people ask

Is Firebolt or Immuta better?
Neither clearly leads. Firebolt starts at $1.84/hour and Immuta at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Immuta?
Firebolt starts at $1.84/hour and Immuta at On request.
Does Firebolt or Immuta run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Immuta runs on Web, API, Cloud.
What is Firebolt best used for?
Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what Immuta is typically brought in for.
What can Firebolt do that Immuta cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute. Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering.

Answered from the vendors’ own pages

Firebolt: How does Firebolt's compute billing model work?

Firebolt uses per-second billing with scale-to-zero capability. The smallest S tier costs $1.84 per hour with 8 vCPU and 64GB memory, while the largest 4XL tier costs $58.88 per hour with 256 vCPU. Users only pay when compute is running.

Source
Immuta: Does Immuta sit in the query path?

No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.

Firebolt: What is the cost for data storage on Firebolt?

Storage costs $0.0264 per GB per month on object storage, billed as pass-through cost at cloud provider rates.

Source
Immuta: What does it cost?

Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.

Firebolt: What free credits or trial does Firebolt offer new users?

New users receive $200 free credits to get started with the platform.

Source
Immuta: Is Immuta still independent?

Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.

Firebolt: Does Firebolt publish pricing for commitment-based discounts?

The pricing FAQ lists a question about commitment-based discounts but does not provide published answers on the pricing page. This requires direct inquiry with sales.

Source
Immuta: Does it work across more than one warehouse?

Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.

Firebolt: What deployment options does Firebolt offer besides managed service?

Firebolt offers self-hosted open source deployment (unlimited) and Bring Your Own Cloud (BYOC) options in addition to managed service.

Source
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